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Photonic signal processing using acousto-optic effects 2

Photonic signal processing using acousto-optic effects

引用

International conference on Photonics Solutions (ICPS)

作者： Widjaja, Joewono Suranaree Univ Technol Inst Sci Nakhon Ratchasima 30000 Thailand

ISBN: (纸本)9781628418750

Acousto-optic effects have been used to perform computationally extensive signal and image processing. The paper first discusses spatial modulation of light by using the acousto-optic modulator. Following this, applications of the acousto-optic modulator to time signal analysis are presented, with the emphasis on the Fourier spectrum analysis and joint time-frequency signal representation.

关键词： Acousto-optic modulator spectrum analyzer joint time-frequency signal representation Fourier optics

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APPLICATION OF CONTRAST IMPROVEMENT METHODS FOR CORPULENT PATIENTS UNDERGOING CHEST SCREENING 3

APPLICATION OF CONTRAST IMPROVEMENT METHODS FOR CORPULENT PA...

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3rd International conference on Radiation and applications in Various Fields of Research (RAD)

作者： Aslamova, L. Melenevska, N. Kulich, E. Miroshnichenko, N. Miroshnichenko, S. Kyiv Natl Taras Shevchenko Univ Training Res Ctr Radiat Safety Kiev Ukraine Teleopt PRA Ltd Kiev Ukraine

ISBN: (纸本)9788680300016

Annual chest screening in Ukraine is a needed diagnostic procedure due to high level of tuberculosis, and it essentially contributes to collective effective dose. Particularly this problem is actual for stout patients, who receive higher exposure dose during chest screening, compared to average patients. This is done to obtain x-ray images with proper visual contrast and accuracy. In the present study, the results obtained with the application of anti-scatter grid technique, common for clinical fluorography examination, were compared to results obtained by the image processing as improving visual contrast method for stout patients. In the present study, image processing increased the contrast value of test-object in range of the 2.0-2.73 times without ED increase;image processing after signal filtration with anti-scatter grid demonstrated the increase of image contrast 3 times in average along with the ED increase in Bucky factor to the 3.1- 3.2.

关键词： exposure dose contrast of x-ray images digital fluorography image processing

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Human Identification System based on the detection of Optical Disc Ring in retinal images 5

Human Identification System based on the detection of Optica...

引用

International conference on image processing Theory Tools and applications

作者： Chihaoui, Takwa Kachouri, Rostom Jlassi, Hejer Akil, Mohamed Hamrouni, Kamel Univ Tunis El Manar Ecole Natl Ingenieurs Tunis LR SITI Signal Image & Technol Informat Tunis Tunisia Univ Paris Est ESIEE Paris Equipe A3SI Lab Informat Gaspard Monge Champs Sur Marne France

ISBN: (纸本)9781479986378

Retinal identification is being studied as a hot research topic in the biometric field. Many factors such as the poor quality of retinal images and the huge execution time can seriously affect the performance of the retinal identification systems. In this context, in order to compromise the quality and the processing time, this paper presents a human identification system based on a new preprocessing method of retinal images that we call optical Disc Ring detection method. The proposed ODR method consists of three phases: image quality improvement in order to enhance the contrast of input retinal image, the optical disc center detection and the extraction of an interest ring around the detected center which contains the densest retinal information. This proposed method was integrated in an identification system based on SIFT features and evaluated using a subset of the VARIA retinal database. The correct identification rate was found to be 99.89% while the reached execution time is very lower than other existing identification systems.

关键词： Biometrics retinal images preprocessing image enhancement Optical Disc Ring (ODR) extraction Scale Invariant Feature Transform (SIFT) descriptors

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A High-performance Energy-efficient Hybrid Redundant MAC for Error-resilient applications 28

A High-performance Energy-efficient Hybrid Redundant MAC for...

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28th International conference on VLSI Design (VLSID) / 14th International conference on Embedded Systems

作者： Dutt, Sunil Chauhan, Anshu Bhadoriya, Rahul Nandi, Sukumar Trivedi, Gaurav Indian Inst Technol Guwahati Dept Elect & Elect Engn Gauhati India Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati India INP ENSEEIHT Dept Elect & Signal Proc Toulouse France

ISBN: (纸本)9781479966585

In the majority of Digital signal processing (DSP) applications, such as image, audio and video processing, the final result is interpreted by human senses;and, the fact of confined perception of human senses declines the strict restriction on accuracy. Thus, by adopting the emerging concept of approximate computing, we propose an approximate radix-2 hybrid redundant Multiply-and-Accumulate (ApproxMAC) unit which stems a novel Speed-Power-Accuracy-Area (SPAA) metrics. The Approx-MAC unit attains tremendous improvements in computational performance, energy efficiency and silicon area with a trivial degradation in the output quality. To inspect the effectiveness of the proposed approach in real-time DSP applications, we demonstrate an ApproxMAC unit embedded JPEG-E-x IP core architecture. The ApproxMAC unit with 40 approximate LSBs ensures 7.177x and 1.526x speedup, 1.594x and 4.163x energy efficiency, and 1.131x and 1.277x silicon area improvements over binary and hybrid redundant MAC units, respectively. Moreover, the ApproxMAC unit with 40 approximate LSBs decorates power-precision and delay-precision metrics by 14.71% and 32.95%, respectively.

关键词： approximation theory digital arithmetic digital signal processing chips Approx MAC unit DSP SPAA metrics approximate computing approximate radix-2 hybrid redundant multiply-and-accumulate unit digital signal processing embedded JPEG-E-x IP core architecture error-resilient applications high-performance energy-efficient hybrid redundant MAC multiply-and-accumulate operation speed-power-accuracy-area metrics Adders Approximation algorithms Approximation methods Computer architecture Digital signal processing Measurement Silicon Approximate Computing Error Resilient Application Hybrid Redundant Number System Multiply-and-Accumulate Unit Digital signal processing digital signal processing chips Digital arithmetic Approximate computing adders Desmoplakin Gene Computer Architecture Approximation method Approximation Theory MAxIMUM ACCEPTABLE CONTAMINATION Media Access Protocol Approximation algorithms Silicon Approx Energy efficiency

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Support plane method applied to ground objects recognition using modelled SAR images 38

Support plane method applied to ground objects recognition u...

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conference on applications of Digital image processing xxxVIII

作者： Zherdev, Denis A. Fursov, Vladimir A. Samara State Aerosp Univ Samara Russia Image Proc Syst Inst Samara Russia

ISBN: (纸本)9781628417654

In this study, the object recognition problem was solved using support plane method. The modelled SAR images were used as features vectors in the recognition algorithm. Radar signal backscattering of objects in different observing poses is presented in SAR images. For real time simulation, we used simple mixture model of Lambertian-specular reflectivity. To this end, an algorithm of ray tracing is extended for simulating SAR images of 3D man-made models. The suggested algorithm of support plane is very effective in objects recognition using SAR images and RCS diagrams.

关键词： SAR images simulator image processing object recognition ray tracing

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Data Compression in Wireless Visual Sensor Networks using wavelets

Data Compression in Wireless Visual Sensor Networks using Wa...

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International conference on Wireless Communications, signal processing and Networking

作者： Shabir Ahmad Sofi Roohie Naaz Department of Information Technology National Institute of Technology Srinagar Hazratbal Kashmir India Department of Computer Science & Engineering National Institute of Technology Srinagar Hazratbal Kashmir India

ISBN: (纸本)9781467393393

Wireless Sensor Networking is a sensor information gathering technology that has a wide range of applications in numerous fields. However due to the fact that sensor nodes have limited battery and are deployed in remote and harsh environments, energy efficient and real time transmission of the information are still open challenges. Since in a wireless sensor network data transmission is the most power consuming task, so far most useful techniques for the purpose of energy efficient and real time transmissions are based on data compression, the majority of them are based on wavelet transform. This paper give performance analysis of different wavelets for energy efficient and real time image data transmission in application like environment monitoring using wireless visual sensor networks. The performance evaluation shows that Haar wavelet is better in terms of energy efficiency and transmission time.

关键词： Wireless Visual Sensor Network (WVSN) Discrete Wavelet Transform (DWT) Skipped High-pass Sub-band (SHPS) Data Compression

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Compression and Denoising in Magnetic Resonance Imaging via SVD on the Fourier Domain using Computer Algebra 38

Compression and Denoising in Magnetic Resonance Imaging via ...

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conference on applications of Digital image processing xxxVIII

作者： Diaz, Felipe Univ EAFIT Sch Sci Engn Phys Medellin Colombia

ISBN: (纸本)9781628417654

Magnetic resonance (MR) data reconstruction can be computationally a challenging task. The signal-to-noise ratio might also present complications, especially with high-resolution images. In this sense, data compression can be useful not only for reducing the complexity and memory requirements, but also to reduce noise, even to allow eliminate spurious *** article proposes the use of a system based on singular value decomposition of low order for noise reconstruction and reduction in MR imaging system. The proposed method is evaluated using in vivo MRI data. Rebuilt images with less than 20 of the original data and with similar quality in terms of visual inspection are presented. Also a quantitative evaluation of the method is presented.

关键词： Magnetic Resonance Imaging (MRI) Singular Value Decomposition (SVD) 2D-Fast Fourier Transform (2D-FFT) image compression image denoising Peak signal-to-noise ratio compression ratio

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Hardware and Software Performance of image processing applications on Reconfigurable Systems 12

Hardware and Software Performance of Image Processing Applic...

引用

12 IEEE Int C Elect Energy Env Communications Computer Control

作者： Mishra, Ashish Agarwal, Mohit Raju, Kota Solomon Birla Inst Technol & Sci Elect & Elect Grp Pilani Rajasthan India CEERI Digital Syst Grp Pilani Rajasthan India

ISBN: (纸本)9781467365406

Field Programmable Gate Arrays (FPGAs) have been extensively used in accelerating applications in many digital domains, examples include image and signal processing. These applications have been abundantly tested in high level languages like C, C++ and Matlab programming. Many standard libraries exist for image processing applications like OpenCV for end to end solutions. applications centered around these libraries when implemented on embedded platforms like ARM or Power PC consumes considerable amount of processing time. In the last decade, these applications have been heavily tested on FPGAs as hardware (HW) for higher performance gain. Many optimizations and architectures have been proposed in this area examples are parallelism extraction, operation scheduling, pipelining, loop unrolling etc.. In this paper, we present a combination of optimizations and architecture for image processing applications on FPGAs. For software (SW), LLVM compiler has been used for applying optimizations and finding SW execution time on the Ubuntu machine. For HW generation and optimization, Vivado-HLS has been used and tested with four filters on Virtex-5 ML507 kit. The result shows the performance comparison of four C programs as software/hardware with respect to time and resource consumption.

关键词： Hardware Software Vivado Optimizations High Level Synthesis Field programmable gate arrays

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Full-Reference Visual Quality Assessment for Synthetic images: A Subjective Study

Full-Reference Visual Quality Assessment for Synthetic Image...

引用

IEEE International conference on image processing (ICIP)

作者： Kundu, Debarati Evans, Brian L. Univ Texas Austin Embedded Signal Proc Lab Austin TX 78712 USA

ISBN: (纸本)9781479983391

Measuring visual quality, as perceived by human observers, is becoming increasingly important in the many applications in which humans are the ultimate consumers of visual information. For assessing subjective quality of natural images, such as those taken by optical cameras, significant progress has been made for several decades. To aid in the benchmarking of objective image quality assessment (IQA) algorithms, many natural image databases have been annotated with subjective ratings of the images by human observers. Similar information, however, is not as readily available for synthetic images commonly found in video games and animated movies. In this paper, our primary contributions are (1) conducting subjective tests on our publicly available ESPL Synthetic image Database, and (2) evaluating the performance of more than 20 full reference IQA algorithms for natural images on the synthetic image database. The ESPL Synthetic image Database contains 500 distorted images (20 distorted images for each of the 25 original images) in 1920 x 1080 format. After collecting 26000 individual human ratings, we compute the differential mean opinion score (DMOS) for each image to evaluate IQA algorithm performance.

关键词： Games image databases Nonlinear distortion Streaming media Visualization

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x-ray Astronomical Point Sources Recognition Using Granular Binary-tree SVM

X-ray Astronomical Point Sources Recognition Using Granular ...

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2016 IEEE 13th International conference on signal processing（ICSP2016）

作者： Zhixian Ma Weitian Li Lei Wang Haiguang xu Jie Zhu Department of Electronic Engineering Shanghai Jiao Tong University Department of Physics and Astronomy Shanghai Jiao Tong University

The study on point sources in astronomical images is of special importance, since most energetic celestial objects in the Universe exhibit a point-like appearance. An approach to recognize the point sources(PS) in the x-ray astronomical images using our newly designed granular binary-tree support vector machine(GBT-SVM) classifier is proposed. First, all potential point sources are located by peak detection on the image. The image and spectral features of these potential point sources are then extracted. Finally, a classifier to recognize the true point sources is build through the extracted features. Experiments and applications of our approach on real x-ray astronomical images are demonstrated. Comparisons between our approach and other SVM-based classifiers are also carried out by evaluating the precision and recall rates, which prove that our approach is better and achieves a higher accuracy of around 89%.

关键词： support vector machine(SVM) x-ray astronomical image point sources binary-tree granule

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